#
# This file is autogenerated by pip-compile with Python 3.8
# by the following command:
#
#    pip-compile
#
accelerate==0.30.1
    # via
    #   peft
    #   trl
aiohttp==3.9.5
    # via
    #   datasets
    #   fsspec
aiosignal==1.3.1
    # via
    #   aiohttp
    #   ray
annotated-types==0.7.0
    # via pydantic
anyio==4.3.0
    # via
    #   httpx
    #   starlette
    #   watchfiles
appdirs==1.4.4
    # via wandb
asttokens==2.4.1
    # via stack-data
async-timeout==4.0.3
    # via aiohttp
attrs==23.2.0
    # via
    #   aiohttp
    #   jsonschema
    #   referencing
backcall==0.2.0
    # via ipython
bitsandbytes==0.41.3
    # via -r requirements.in
certifi==2024.2.2
    # via
    #   httpcore
    #   httpx
    #   requests
    #   sentry-sdk
charset-normalizer==3.3.2
    # via requests
click==8.1.7
    # via
    #   ray
    #   typer
    #   uvicorn
    #   wandb
cloudpickle==3.0.0
    # via outlines
comm==0.2.2
    # via ipywidgets
contourpy==1.1.1
    # via matplotlib
cupy-cuda12x==12.1.0
    # via vllm
cycler==0.12.1
    # via matplotlib
datasets==2.17.1
    # via
    #   -r requirements.in
    #   trl
decorator==5.1.1
    # via ipython
dill==0.3.8
    # via
    #   datasets
    #   multiprocess
diskcache==5.6.3
    # via outlines
dnspython==2.6.1
    # via email-validator
docker-pycreds==0.4.0
    # via wandb
email-validator==2.1.1
    # via fastapi
exceptiongroup==1.2.1
    # via anyio
executing==2.0.1
    # via stack-data
fastapi==0.111.0
    # via vllm
fastapi-cli==0.0.4
    # via fastapi
fastrlock==0.8.2
    # via cupy-cuda12x
filelock==3.14.0
    # via
    #   datasets
    #   huggingface-hub
    #   ray
    #   torch
    #   transformers
    #   triton
fonttools==4.51.0
    # via matplotlib
frozenlist==1.4.1
    # via
    #   aiohttp
    #   aiosignal
    #   ray
fsspec[http]==2023.10.0
    # via
    #   datasets
    #   huggingface-hub
    #   torch
gitdb==4.0.11
    # via gitpython
gitpython==3.1.43
    # via wandb
h11==0.14.0
    # via
    #   httpcore
    #   uvicorn
httpcore==1.0.5
    # via httpx
httptools==0.6.1
    # via uvicorn
httpx==0.27.0
    # via fastapi
huggingface-hub==0.23.0
    # via
    #   accelerate
    #   datasets
    #   tokenizers
    #   transformers
idna==3.7
    # via
    #   anyio
    #   email-validator
    #   httpx
    #   requests
    #   yarl
importlib-metadata==7.1.0
    # via numba
importlib-resources==6.4.0
    # via
    #   jsonschema
    #   jsonschema-specifications
    #   matplotlib
interegular==0.3.3
    # via outlines
ipython==8.12.3
    # via ipywidgets
ipywidgets==8.1.2
    # via -r requirements.in
jedi==0.19.1
    # via ipython
jinja2==3.1.4
    # via
    #   fastapi
    #   outlines
    #   torch
joblib==1.4.2
    # via scikit-learn
jsonschema==4.22.0
    # via
    #   outlines
    #   ray
jsonschema-specifications==2023.12.1
    # via jsonschema
jupyterlab-widgets==3.0.10
    # via ipywidgets
kiwisolver==1.4.5
    # via matplotlib
lark==1.1.9
    # via outlines
littleutils==0.2.2
    # via outdated
llvmlite==0.41.1
    # via numba
markdown-it-py==3.0.0
    # via rich
markupsafe==2.1.5
    # via jinja2
matplotlib==3.7.5
    # via -r requirements.in
matplotlib-inline==0.1.7
    # via ipython
mdurl==0.1.2
    # via markdown-it-py
mpmath==1.3.0
    # via sympy
msgpack==1.0.8
    # via ray
multidict==6.0.5
    # via
    #   aiohttp
    #   yarl
multiprocess==0.70.16
    # via datasets
nest-asyncio==1.6.0
    # via outlines
networkx==3.1
    # via
    #   -r requirements.in
    #   torch
ninja==1.11.1.1
    # via vllm
numba==0.58.1
    # via outlines
numpy==1.24.4
    # via
    #   -r requirements.in
    #   accelerate
    #   contourpy
    #   cupy-cuda12x
    #   datasets
    #   matplotlib
    #   numba
    #   ogb
    #   outlines
    #   pandas
    #   peft
    #   pyarrow
    #   scikit-learn
    #   scipy
    #   tensorboardx
    #   transformers
    #   trl
    #   vllm
    #   xformers
nvidia-cublas-cu12==12.1.3.1
    # via
    #   nvidia-cudnn-cu12
    #   nvidia-cusolver-cu12
    #   torch
nvidia-cuda-cupti-cu12==12.1.105
    # via torch
nvidia-cuda-nvrtc-cu12==12.1.105
    # via torch
nvidia-cuda-runtime-cu12==12.1.105
    # via torch
nvidia-cudnn-cu12==8.9.2.26
    # via torch
nvidia-cufft-cu12==11.0.2.54
    # via torch
nvidia-curand-cu12==10.3.2.106
    # via torch
nvidia-cusolver-cu12==11.4.5.107
    # via torch
nvidia-cusparse-cu12==12.1.0.106
    # via
    #   nvidia-cusolver-cu12
    #   torch
nvidia-nccl-cu12==2.18.1
    # via torch
nvidia-nvjitlink-cu12==12.4.127
    # via
    #   nvidia-cusolver-cu12
    #   nvidia-cusparse-cu12
nvidia-nvtx-cu12==12.1.105
    # via torch
ogb==1.3.6
    # via -r requirements.in
orjson==3.10.3
    # via fastapi
outdated==0.2.2
    # via ogb
outlines==0.0.41
    # via vllm
packaging==24.0
    # via
    #   accelerate
    #   datasets
    #   huggingface-hub
    #   matplotlib
    #   peft
    #   plotly
    #   ray
    #   tensorboardx
    #   transformers
pandas==2.0.3
    # via
    #   -r requirements.in
    #   datasets
    #   ogb
parso==0.8.4
    # via jedi
peft==0.4.0
    # via -r requirements.in
pexpect==4.9.0
    # via ipython
pickleshare==0.7.5
    # via ipython
pillow==10.3.0
    # via matplotlib
pkgutil-resolve-name==1.3.10
    # via jsonschema
plotly==5.21.0
    # via -r requirements.in
prometheus-client==0.20.0
    # via vllm
prompt-toolkit==3.0.43
    # via ipython
protobuf==4.25.3
    # via
    #   ray
    #   tensorboardx
    #   wandb
psutil==5.9.8
    # via
    #   accelerate
    #   peft
    #   vllm
    #   wandb
ptyprocess==0.7.0
    # via pexpect
pure-eval==0.2.2
    # via stack-data
pyarrow==16.1.0
    # via datasets
pyarrow-hotfix==0.6
    # via datasets
pydantic==2.7.1
    # via
    #   fastapi
    #   outlines
    #   vllm
pydantic-core==2.18.2
    # via pydantic
pygments==2.18.0
    # via
    #   ipython
    #   rich
pynvml==11.5.0
    # via vllm
pyparsing==3.1.2
    # via matplotlib
python-dateutil==2.9.0.post0
    # via
    #   matplotlib
    #   pandas
python-dotenv==1.0.1
    # via uvicorn
python-multipart==0.0.9
    # via fastapi
pytz==2024.1
    # via pandas
pyyaml==6.0.1
    # via
    #   accelerate
    #   datasets
    #   huggingface-hub
    #   peft
    #   ray
    #   transformers
    #   uvicorn
    #   wandb
ray==2.10.0
    # via vllm
referencing==0.35.1
    # via
    #   jsonschema
    #   jsonschema-specifications
    #   outlines
regex==2024.5.15
    # via transformers
requests==2.32.1
    # via
    #   datasets
    #   fsspec
    #   huggingface-hub
    #   outdated
    #   outlines
    #   ray
    #   transformers
    #   wandb
rich==13.7.1
    # via typer
rpds-py==0.18.1
    # via
    #   jsonschema
    #   referencing
safetensors==0.4.3
    # via
    #   accelerate
    #   peft
    #   transformers
scikit-learn==1.3.2
    # via ogb
scipy==1.10.1
    # via scikit-learn
sentencepiece==0.2.0
    # via vllm
sentry-sdk==2.2.1
    # via wandb
setproctitle==1.3.3
    # via wandb
shellingham==1.5.4
    # via typer
six==1.16.0
    # via
    #   asttokens
    #   docker-pycreds
    #   ogb
    #   python-dateutil
smmap==5.0.1
    # via gitdb
sniffio==1.3.1
    # via
    #   anyio
    #   httpx
stack-data==0.6.3
    # via ipython
starlette==0.37.2
    # via fastapi
sympy==1.12
    # via torch
tenacity==8.3.0
    # via plotly
tensorboardx==2.6.2.2
    # via -r requirements.in
threadpoolctl==3.5.0
    # via scikit-learn
tokenizers==0.15.2
    # via transformers
torch==2.1.2
    # via
    #   -r requirements.in
    #   accelerate
    #   ogb
    #   peft
    #   trl
    #   vllm
    #   xformers
tqdm==4.66.2
    # via
    #   -r requirements.in
    #   datasets
    #   huggingface-hub
    #   ogb
    #   transformers
traitlets==5.14.3
    # via
    #   comm
    #   ipython
    #   ipywidgets
    #   matplotlib-inline
transformers==4.38.2
    # via
    #   -r requirements.in
    #   peft
    #   trl
    #   vllm
triton==2.1.0
    # via
    #   torch
    #   vllm
trl==0.4.7
    # via -r requirements.in
typer==0.12.3
    # via fastapi-cli
typing-extensions==4.11.0
    # via
    #   annotated-types
    #   anyio
    #   fastapi
    #   huggingface-hub
    #   ipython
    #   pydantic
    #   pydantic-core
    #   rich
    #   starlette
    #   torch
    #   typer
    #   uvicorn
    #   wandb
tzdata==2024.1
    # via pandas
ujson==5.10.0
    # via fastapi
urllib3==2.2.1
    # via
    #   ogb
    #   requests
    #   sentry-sdk
uvicorn[standard]==0.29.0
    # via
    #   fastapi
    #   vllm
uvloop==0.19.0
    # via uvicorn
vllm==0.3.3
    # via -r requirements.in
wandb==0.16.4
    # via -r requirements.in
watchfiles==0.21.0
    # via uvicorn
wcwidth==0.2.13
    # via prompt-toolkit
websockets==12.0
    # via uvicorn
widgetsnbextension==4.0.10
    # via ipywidgets
xformers==0.0.23.post1
    # via vllm
xxhash==3.4.1
    # via datasets
yarl==1.9.4
    # via aiohttp
zipp==3.18.2
    # via
    #   importlib-metadata
    #   importlib-resources

# The following packages are considered to be unsafe in a requirements file:
# setuptools
